This document describes a gas leakage detection and controlling system developed using a MQ-2 gas sensor, Raspberry Pi 3, piezo buzzer, and stepper motor. The sensor detects LPG concentrations and sends the data to the Raspberry Pi. If gas levels exceed a threshold, the system alerts the user by email and sound, and activates the stepper motor to automatically shut off the gas regulator valve. The system is programmed with Python and provides an automatic control action to stop gas flow when leaks are detected.

1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1155
Gas Leakage Detection and Controlling System
K Arpitha1, Madhumitha Nayak2, Divya R Rao3, Anushree Shenoy K S4
1,2,3,4Student, Dept. of Computer Science and Engineering, CEC, Karnataka, India
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Abstract -Now a days Safety plays important rolesinhome
towards security over the gas leakage. The purpose of this
project is to develop a system for the gas detection and
controlling. The gas sensorusedfordevelopmentofthissystem
is the combustible gas sensor MQ-2 that usedinordertodetect
the present of liquefied petroleum gas (LPG). The sensor
detects gas concentrations from 200 to 5000ppm. The output
of the sensor is connected to Raspberry PI3 model B+. The
system is programmed with python, whereas the system
evaluates the sensed data, if the sensed data is more than
threshold value an alert will be sent to the user and motor will
be activated in order to turn off the gas regulator valve.
Key Words: MQ2 sensor; Raspberry Pi; Stepper Motor;
Piezo Buzzer
1. INTRODUCTION
The dangerous gas such as LPG may bring harmful effect
towards humans as they may cause explosions. Then, it is
certainly possible that the gas mayleak andthesystemneeds
to be real time monitored. Thus, a gas detector is invented to
detect the presence of LPG within an area to prevent any
disaster.
In this paper, the detecting and controllingsystemis
developed and implemented by using Python programming.
In actual, the hardware included in this system is MQ-2 Gas
Sensor, Raspberry Pi3 model B+, piezo buzzer and stepper
motor to detect the leakage of the gas. The sensor has
excellent sensitivity combined with a quick response time at
low cost and ease of installation. When the gas leakage is
detected, an alert warning notification will automatically be
sent to the user through mail, at the same time it will raise an
alarm and automatically the stepper motor gets rotated
which in turn will turn off the regulator valve.
2. LITERATURE SURVEY
Gokula Kaveeya S, Gomathi S,Kavipriya K, Kalai Selvi A and
Sivakumar S-“Automated Unified System for LPGusingLoad
Sensor”. In this approach Gas leakage detection and Gas
refilling is done using the MQ5 sensor, GSM, Load sensor,
Raspberry pi, Aurdino. MQ5 detects the LPG frequently
whether the flow of gas is normal or abnormal, if it is
abnormal, sends notification to user via GSM. If there is no
response, the system automatically turnsoff.Theproblem in
this is, Gas cannot be refilled without the
intermediate(distributor) [1].
Mr. Sahil Adsul, Mr. Ashok Kumar Sharma and Mr. R.G
Mevekari-“Development of Leakage Detection System”. In
this approach the data such as humidity, temperature,
pressure, gas detection, sound detectionisacquiredbyusing
sensors. The sensors used are DHT22/AM2302, TMP006,
BMP180, MQ6, 20KHz microphone, 40KHz ultrasonic
receiver, 40KHz ultrasonic module. ZigBee is a wireless
communication technology used to create small personal
area network. This idea is to detect leakage with different
parameters and test on different type leaks was achieved.
This system can be designed by using low power
microcontroller board and using more high quality sensors
to detect accurate values at the output [2].
L.P Deshmukh, T.H Mujawar, M.S Kasbe, S.S Mule, J.Akthar
and N.N Maldar-“A LabVIEW Based Remote Monitoring and
Controlling of Wireless Sensor Node for LPG Gas Leakage
Detection”. This approach gives a system for monitoring the
LPG gas leaks in the presence of air. The methods used here
are Wireless Sensor Network, Sensor Node, Remote
monitoring and controlling, LabVIEW,VISA.Inthispaper gas
leakage is detected and alerts the user via alarm, sending
SMS on user mobile phone and turns off the gas regulator
valve [3].
Jinhao Sun, Jinhao Sun Yezi Li Xiaojin Yan -“The design of
automatic detection processing device of gas leakage based
on the MB95204K”. Gas leakage causes loss of energy,
personal injury and property damage. To solve these
problems paper designed a gas leakage automatic detection
and processing device by using Fujitsu MB95204K. Gases
such as methane and carbon monoxide will automatically
detect and alarm. The chemical transducer MQ5 detects
concentration of gas generated signals and then does A/D
conversion [4].
Ahmed Imteaj, Tanveer Rahman, Hosna Ara Begum,
Mohammed Shamsul Alam-“IoT based Energy and Gas
Economic Home Automation System using Raspberry Pi3”.
When gas leakage is detected by Gas sensor it makes the
WeMOS known about this, which transfers signal to
Raspberry Pi and it apprises the user immediately through
GSM module. PIR sensors (Passive Infrared) that
automatically perceiveswhetherthereisanyweightover the
burner through the button module and if no then the system
will turn off the stove using the relay module considering
input of button module [5].
The smart gas level monitoring, Booking and gas leakage
detector over IoT is implemented by Kumar Keshamoni,

2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1156
Sabbani Hemanth. In this approach they have usedIoT,GSM,
MQ2 sensor, ARM processor. The gas leakage is sensed by
MQ2 sensor which sends a high pulse to Mc which in turn
updates it in the IoT system, and the buzzer will be heard in
the RFRx kit [6].
Mohsen Rahmati, Honeyeh Yazdizadeh and Alizera
Yazdizadeh-“Leakage Detection in a Gas Pipeline Using
Artificial Neural Network Basedon WirelessSensorNetwork
and Internet of Things”. This approach uses Leakage
Detection, Artificial Neural Network(ANN), Wireless Sensor
Network(WSN), Internet of Things(IoT) and Gas Pipeline. In
this, a neural network method for leakage detection of a gas
pipeline by using flow pattern is applied. The pipeline is
divided in several segments and each segment is modelled
by considering i/o pressure of the gas flow [7].
Asmita Varma, Prabhakar S and Kayalvizhi Jayavel-“Gas
Leakage Detection and Smart Alerting and Prediction Using
IoT”. This approach makes use of the IoT, Sensor,Alarm,
Prediction, Data Analytics. IoT is a network which can be
extended with the help of physical devices that are
connected with different types of servers and with help of
internet they will be exchanging the data. Here IoT is used
for Gas Leakage Detection consisting of Smart Alerting
techniques which involves calling, sending textmessageand
email to the user and helps to predict hazardous situation so
that people will be safe. Adedicatedmobileapplicationcould
be made for system [8].
Vinayshri Naik ,Chaitali Bagwe, Neha Kunte ,Vidya Ghadi, –
“IoT based Gas Leakage Detection System with Database
Logging, Prediction and Smart Alerting Review”. This
approach makes use of Data analysis, IoT, MQ5 gas sensor
and Alarm. Gas leakages in any areas can cause danger.
Therefore we are using IoT technologytosolvetheproposed
problem and make predictions which will be helpful in
current and future use [9].
Halavva Patil, Shreedhar Niradi, Jyothi D.T, Seema J.S,
Shwetha D.G–“Smart Gas Booking and LPG Leakage
Detection System”. This approach makes use of Gas sensor-
MQ06, GSM DC motor, microcontroller and load cell.
Proposed system consists of gas leakage detection sensor
which is interfaced with microcontroller. If leakage is
detected microcontroller immediately starts the stepper
motor to turn off the gas regulator and message will be
displayed on the LCD display [10].
3. EXISTING METHODOLOGY
In all existing methods, different gas sensing technologies
are used. However, most of the accidents happen because of
our negligence to not switch off the regulator. The detection
of gases and its monitoring has already been done. The
exhaust fan method is not feasible for every situation and
doesn't tackle the problem at the root level.Also,theexhaust
fan's continuous use to disperse gas can in turn heat it up,
which could ignite the cylinder and cause damage.
4. PROPOSED METHODOLOGY
The proposed methodology usesanautomaticcontrol action
on detecting the gas. The regulator valve would be switched
off in order to completely stop the flow of the leaked gas
using the stepper motor. The user is alerted by the beep of
buzzer and at the same time notification is sent through an
email. Advantages of the proposed system are,
 Action is taken to control the leakage.
 If gas leakage is detected it will alert by beeping
the buzzer and also send an email to the user.
5. RESULT
Fig -1: Command to get the IP address
Fig -2: Implementation of proposed system

3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1157
Fig -3: Output screen
The Fig.1 shows the command to get the IP address of the
Raspberry Pi kit i.e ping -4 raspberrypi.local. The Fig.2
shows the overall connection between all the hardware
components. When the gas leakage isdetectedbythesensor,
the signal will be sent to the Raspberry Pi which will alert
user by beeping the buzzer and sendsnotificationtotheuser
through email. The stepper motor will be rotated to turn off
the gas regulator valve. Fig.3 shows the output screen of
python program.
6. CONCLUSION
Detection and Controlling system for LPGisproposed. When
the gas leakage is detected it beeps the buzzer, sends an
email to the end user and rotates the stepper motor to turn
off the regulator valve. We have used Python programming
to implement this system.
7. FUTURE ENHANCEMENT
In future it can be implementedinlargescaleindustries.This
system can be designed by using more high quality sensors
to detect accurate values.
REFERENCES
[1] GokulaKaveeya S, Gomathi S,Kavipriya K, Kalai
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